AI Data Engineer
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Lisbon, Portugal"), this listing's salary midpoint is about 90% lower. The offer sits below the benchmark range (€9,260–€13,890). Range-width comparison is limited because one of the salary bands is incomplete. This benchmark is based on 3 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| All roles in Lisbon, Portugal | €9,260/per month | €13,890/per month | €13,890/per month |
| Pay in our data — not quoted in ad (Mid-Level) | €1,158/per month | €1,158/per month | €1,158/per month |
About the role We are seeking a highly skilled AI Data Engineer with a strong focus on LLM-driven applications and production-grade AI systems. This role is designed for a professional who excels at transforming experimental AI models into scalable, reliable, and impactful solutions in production. You will play a key role in building AI-native products, with a particular emphasis on Large Language Models (LLMs), retrieval-augmented generation (RAG), and intelligent automation. Working at the intersection of AI, software engineering, and data platforms, you will drive the development of cutting-edge solutions that deliver measurable business value. This position requires hands-on expertise in Python, cloud environments (GCP/AWS), and end-to-end AI system deployment, combined with a strong experimentation mindset to iterate quickly and effectively.
Job Details
Responsibilities
- Build and deploy LLM-powered applications and RAG pipelines.
- Develop AI/ML models with scalability, reliability, and performance in mind.
- Develop and optimize retrieval systems using vector databases.
- Run rapid experiments, PoCs, and iterations to validate AI use cases.
- Design and maintain AI data pipelines and workflows.
- Deploy AI solutions on cloud platforms (GCP/AWS) using modern infrastructure practices.
- Develop APIs and backend services to integrate AI into products.
- Implement CI/CD and monitoring for continuous improvement of AI systems.
- Collaborate with data, product, and engineering teams to deliver AI-driven features.
- Ensure data quality and observability across AI systems.
Requirements
- More than 3 years of experience across AI engineering, data science, or data engineering roles.
Skills & Technologies
Education Level
BachelorBenefits & Perks
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